Results 61 to 70 of about 1,401 (153)

A Topological Signal Processing‐Based Time–Frequency Analysis Algorithm

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
A topological signal processing framework is introduced to enhance the noise robustness of synchrosqueezing‐based time–frequency (TF) analysis. Designed as a postprocessing procedure applicable to any TF representation, the method produces a more energy‐concentrated and sparse TF spectrum. The approach begins with the short‐time Fourier transform (STFT)
Peng Guo, Dongsheng Li, Mohammad Rezwan Habib   +2 more
wiley   +1 more source

Acoustic Emission Signal Detection for Internal Valve Leakage in Liquid‐Filled Pipelines Using Kernel Principal Component Analysis

Shock and Vibration, Volume 2026, Issue 1, 2026.
To detect internal valve leakage in liquid‐filled pipelines, a method using kernel principal component analysis (KPCA) is proposed to analyze acoustic emission (AE) signals for leakage detection. Time‐frequency analysis and root mean square (RMS) values of AE signals across various frequency bands reveal that the dominant frequency band for valve ...
Runlin Zhang, Xueming He, Chao Wu, Lei Wang, Di Wu, Arnab Biswas   +5 more
wiley   +1 more source

Application of high-resolution processing in seismic data based on an improved synchrosqueezing transform

Frontiers in Earth Science, 2022
This study proposes a high-resolution processing technique for seismic data based on the improved synchrosqueezing transform (SST). The SST rearranges the complex spectrum of the wavelet transform along the frequency axis.
Chen Yu, Shuyan Wang, Lifang Cheng
doaj   +1 more source

Analyzing transient-evoked otoacoustic emissions by concentration of frequency and time

, 2018
The linear part of transient evoked (TE) otoacoustic emission (OAE) is thought to be generated via coherent reflection near the characteristic place of constituent wave components.
Liu, Yi-Wen, Wu, Hau-tieng
core   +1 more source

Wide‐area damping control in renewable integrated power systems: A review on recent achievements and new challenges

Energy Conversion and Economics, Volume 6, Issue 6, Page 341-358, December 2025.
Abstract Low‐frequency oscillations (LFOs) remain a major obstacle to maintaining stable dynamic performance in power systems with high levels of renewable energy integration. In particular, inter‐area LFOs have emerged as a critical concern in large, interconnected grids.
Linglin Meng, Haixin Wang, Shengyang Lu, Zihao Yang, Zhe Chen, Hassan Bevrani, Sharara Rehimi, Mingchao Xia, Dan Doru Micu, Fausto Pedro García Márquez, Junyou Yang   +10 more
wiley   +1 more source

Efficient unsupervised domain adaptation for crack segmentation with interpretable Fourier– Morphology blending and Uncertainty‐guided self‐training

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 29, Page 5790-5807, 9 December 2025.
Abstract Automated crack segmentation models are vital for infrastructure monitoring but fail when deployed in new domains. Overcoming this domain shift without costly re‐annotation is vital. This paper presents a novel unsupervised domain adaptation framework that uniquely integrates Fourier‐based style transfer with targeted morphological operators ...
Saheli Bhattacharya, Chen Zhang, Dhanada K. Mishra, Matthew M. F. Yuen, Jize Zhang   +4 more
wiley   +1 more source

Structural identification of material properties and load parameters using a differentiable material point method

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 24, Page 3856-3874, 6 October 2025.
Abstract This study introduces a novel optimization framework based on the differentiable material point method (DiffMPM) for the identification of structural and loading parameters from dynamic structural monitoring data. Structural health monitoring (SHM) methodologies are often challenged by the need to interpret limited and noisy measurements for ...
Jeffrey Cheng, Krishna Kumar, Matthew J. DeJong   +2 more
wiley   +1 more source

Novelty Detection in Airport Baggage Conveyor Gear-Motors Using Synchro-Squeezing Transform and Self-Organizing Maps [PDF]

, 2013
A powerful continuous wavelet transform based signal processing tool named Synchro-squeezing transform (SST) has recently emerged in the context of non-stationary signal processing.
Hazra, Budhaditya, Narasimhan, Sriram, Pantula, Shilpa   +2 more
core  

Emotional recognition while watching emotional videos: Based on electroencephalography signal analysis and machine learning models

Ibrain, Volume 11, Issue 3, Page 347-363, Fall 2025.
Overview of the EEG‐based emotion classification framework. The process starts with EEG signal recording while subjects watch five emotional videos. The raw EEG data undergoes preprocessing, including noise and artifact removal, followed by segmentation, feature extraction, and selection.
Afshin S. Asl, Sahar Karimpour
wiley   +1 more source

Combining $2D$ synchrosqueezed wave packet transform with optimization for crystal image analysis

, 2015
We develop a variational optimization method for crystal analysis in atomic resolution images, which uses information from a 2D synchrosqueezed transform (SST) as input.
Lu, Jianfeng, Wirth, Benedikt, Yang, Haizhao   +2 more
core   +1 more source